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"Networks are everywhere, from the Internet, to social networks, and the genetic networks that determine our biological existence. Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of topics from physics to computer science, engineering, economics and the social sciences, introduces network science to an interdisciplinary audience. From the origins of the six degrees of separation to explaining why networks are robust to random failures, the author explores how viruses like Ebola and H1N1 spread, and why it is that our friends have more friends than we do. Using numerous real-world examples, this innovatively designed text includes clear delineation between undergraduate and graduate level material"--Page [4] of cover.
toegepaste wiskunde --- Science --- Computer networks --- Information networks --- Computer networks. --- Information networks. --- Automated information networks --- Networks, Information --- Information services --- Information storage and retrieval systems --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Distributed processing
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Netwerkeconomie
Economics --- World Wide web --- Social networks --- System theory --- Science --- Computer networks --- Philosophy --- World Wide Web --- System theory. --- Geografie --- Philosophy. --- Economische geografie --- Transport. --- Statistical physics --- #SBIB:309H103 --- 168.5 --- 316.47 --- Systems, Theory of --- Systems science --- 168.5 Multidisciplinair karakter der wetenschappen --- 168.5 Systeem der wetenschappen. Systematische ordening der wetenschappen --- Multidisciplinair karakter der wetenschappen --- Systeem der wetenschappen. Systematische ordening der wetenschappen --- 316.47 Sociale relaties --(sociologie) --- Sociale relaties --(sociologie) --- W3 (World Wide Web) --- Web (World Wide Web) --- World Wide Web (Information retrieval system) --- WWW (World Wide Web) --- Hypertext systems --- Multimedia systems --- Internet --- Networking, Social --- Networks, Social --- Social networking --- Social support systems --- Support systems, Social --- Interpersonal relations --- Cliques (Sociology) --- Microblogs --- Normal science --- Philosophy of science --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Mediatechnologie / ICT / digitale media: sociale en culturele aspecten --- Distributed processing --- Marketing --- Netwerken --- Netwerkmarketing --- Organisatieleer --- Sociologie --- Netwerk (ict) --- Financiewezen --- Erfelijkheidsleer --- Stadssamenleving --- Verpleegkunde --- Netwerk (relationeel) --- Science - Philosophy --- Computer networks - Miscellanea --- Social networks - Miscellanea --- Economics - Miscellanea --- World Wide Web - Miscellanea
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's Werelds meest gerenommeerde netwerkwetenschapper Albert-László Barabási ontdekte dat veel van ons gedrag voorspeld kan worden aan de hand van het zogenaamde Lévy patroon. In een meeslepende pageturner toont Barabási hoe dit wiskundig verschijnsel teruggevonden kan worden in bijvoorbeeld ons reisgedrag, onze productiviteit en zelfs de escalatie van gewapende conflicten. Bron : http://www.boekenbank.be
Gedrag --- Gedragsleer --- Gedragspsychologie --- Social psychology --- Gedragswetenschap
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"A trailblazing book that promises to transform the very foundations of how our success-obsessed society approaches their professional careers, life pursuits and long-term goals. Too often, accomplishment does not equal success. We did the work but didn't get the promotion; we played hard but weren't recognized; we had the idea but didn't get the credit. We convince ourselves that talent combined with a strong work ethic is the key to getting ahead, but also realize that combination often fails to yield results, without any deeper understanding as to why. Recognizing this striking disconnect, the author, along with a team of renowned researchers and some of the most advanced data-crunching systems on the planet, dedicated themselves to one goal: uncovering that ever-elusive link between performance and success. Now, based on years of academic research, The Formula finally unveils the groundbreaking discoveries of their pioneering study, not only highlighting the scientific and mathematic principles that underpin success, but also revolutionizing our understanding of: why performance is necessary but not adequate; why "Experts" are often wrong; how to assemble a creative team primed for success; how to most effectively engage our networks; and much more."--Jacket. In an examination of the scientific principles behind success, a leading researcher reveals the surprising ways to turn achievement into success.
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Statistical physics --- Surfaces (Physics) --- Interfaces (Physical sciences) --- Crystal growth --- Molecular beam epitaxy --- Fractals --- Crystal growth. --- Fractals. --- Molecular beam epitaxy. --- Interfaces (Physical sciences). --- Surfaces (Physics). --- Interfaces (physical sciences) --- Surfaces (physics)
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"Network medicine, a new field which developed from the application of systems biology approaches to human disease, embraces the complexity of multifactorial influences on disease, which can be driven by non-linear effects and molecular and statistical interactions.The development of comprehensive and affordable Omics platforms provides the data types for network medicine, and graph theory and statistical physics provide the theoretical framework to analyze networks. While network medicine provides a fundamentally different approach to understanding disease etiology, it will also lead to key differences in how diseases are treated--with multiple molecular targets that may require manipulation in a coordinated, dynamic fashion. Much remains to be learned regarding the optimal approaches to integrate different Omics data types and to perform network analyses; this book provides an overview of the progress that has been made and the challenges that remain." [Publisher]
Medical informatics --- Data integration (Computer science) --- Diseases --- Therapeutics --- Médecine --- Intégration de données (informatique) --- Étiologie --- Thérapeutique --- Causes and theories of causation --- Data processing --- Informatique --- Informatique. --- Data processing. --- Diseases - Causes and theories of causation - Data processing --- Therapeutics - Data processing
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From the Internet to networks of friendship, disease transmission, and even terrorism, the concept - and the reality - of networks has come to pervade modern society. But what exactly is a network ? What different types of networks are there ? Why are they interesting, and what can they tell us ? In recent years, scientists from a range of fields - including mathematics, physics, computer science, sociology, and biology - have been pursuing these questions and building a new 'science of networks.' This book brings together, for the first time, a set of seminal articles representing research from across these disciplines. It is an ideal sourcebook for the key research in this fast-growing field. The book is organized into four sections, each preceded by an editors' introduction summarizing its contents and general theme. The first section sets the stage by discussing some of the historical antecedents of contemporary research in the area. From there the book moves to the empirical side of the science of networks before turning to the foundational modeling ideas that have been the focus of much subsequent activity.The book closes by taking the reader to the cutting edge of network science - the relationship between network structure and system dynamics. From network robustness to the spread of disease, this section offers a potpourri of topics on this rapidly expanding frontier of the new science.
Computer networks --- Dynamics --- Social networks --- Complexity (Philosophy) --- Complexity (Philosophy). --- Computer networks. --- Dynamics. --- Social networks. --- Dynamique. --- Réseaux d'ordinateurs. --- Réseaux sociaux. --- Sociology of organization --- Science --- Dynamique --- Réseaux sociaux --- Réseaux d'ordinateurs --- Complexité (Philosophie) --- 519.1 --- gedrag --- Internet --- psychologie, sociaal --- sociologie --- 519.876.3 --- 519.876.3 Network planning --- Network planning --- Networking, Social --- Networks, Social --- Social networking --- Social support systems --- Support systems, Social --- Interpersonal relations --- Cliques (Sociology) --- Microblogs --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Philosophy --- Emergence (Philosophy) --- Distributed processing --- Acqui 2006
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From the Internet to networks of friendship, disease transmission, and even terrorism, the concept--and the reality--of networks has come to pervade modern society. But what exactly is a network? What different types of networks are there? Why are they interesting, and what can they tell us? In recent years, scientists from a range of fields--including mathematics, physics, computer science, sociology, and biology--have been pursuing these questions and building a new "science of networks." This book brings together for the first time a set of seminal articles representing research from across these disciplines. It is an ideal sourcebook for the key research in this fast-growing field. The book is organized into four sections, each preceded by an editors' introduction summarizing its contents and general theme. The first section sets the stage by discussing some of the historical antecedents of contemporary research in the area. From there the book moves to the empirical side of the science of networks before turning to the foundational modeling ideas that have been the focus of much subsequent activity. The book closes by taking the reader to the cutting edge of network science--the relationship between network structure and system dynamics. From network robustness to the spread of disease, this section offers a potpourri of topics on this rapidly expanding frontier of the new science.
Computer networks. --- Dynamics. --- Social networks. --- Complexity (Philosophy) --- Philosophy --- Emergence (Philosophy) --- Networking, Social --- Networks, Social --- Social networking --- Social support systems --- Support systems, Social --- Interpersonal relations --- Cliques (Sociology) --- Microblogs --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Distributed processing
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